At SunnyData, a leading Databricks technology partner, our mission is to empower customers with scalable architectures, robust data engineering pipelines, seamless data consumption layers, and advanced ML and AI applications. As a Solutions Architect specialized in Platform, Cloud Infrastructure and Security, you will design and implement scalable data infrastructure while meeting security and compliance requirements. The Impact You Will Have
- Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. In this role you will split your time evenly between billable and pre-sales activity.
- Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives.
- Pre-Sales Support: Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings.
- Project Oversight: Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes.
- Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality.
- Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes.
- Cross-Functional Collaboration and Leadership : Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments.
- Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections.
- Quality Assurance: Test data movement, transformation code,



and data components to ensure accuracy and reliability. Required Experience
- 7+ years as a hands-on Solutions Architect with experience in Data Security or related areas. Expertise in two or more of the following: Cloud Security, Cloud Networking, Encryption, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response
- Infrastructure and Security: designing data platforms on cloud infrastructure and services (AWS, Azure, or GCP), using best practices in cloud security and networking.
- Technical Proficiency: Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, cloud platforms, security, automation, networking, or identity management
- Architecture and leadership

skills:
In-depth understanding of the end to end data analytics workflow (e.g., data modeling, ETL processes, and data integration) using modern data engineering techniques; Ability to lead complex architecture requirements(discovery), solution design sessions and build out implementation architecture blueprints that can be implemented by data-engineering and analytics teams.
- DevOps/DevSecOps: SDLC tooling such as Github, Gitlab, Continuous Inspection such as SonarQube and Artifact Management such as Artifactory
- IaC tools like Terraform
- Programming

Skills:
Proficiency in Python, Java,



or Scala
- Cloud Platforms: AWS, Azure, and/or GCP.
- SQL Expertise: Ability to write, debug, and optimize SQL queries.
- Client-Facing

Skills:
Strong written and verbal communication skills with experience in client-facing roles.
- Presentation

Skills:
Ability to create and deliver detailed presentations to clients and stakeholders.
- Documentation: Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.
- Team Leadership: Experience leading teams and mentoring other engineers.
- End-to-End Solutions: Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration. Preferred Experience
- Distributed Storage: Familiarity with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
- Data Integration: Experience with data integration technologies like Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, and Informatica Intelligent Cloud Services (IICS).
- Software Development Lifecycle: Comprehensive experience with the complete software development lifecycle including design, documentation, implementation, testing, and deployment.
- Automated Pipelines: Expertise in automated data transformation and curation using tools like dbt, Spark, Spark streaming, and automated pipelines.
- Workflow Management: Experience with workflow management and orchestration tools like Airflow, AWS Managed Airflow, Luigi, and NiFi.
- Certifications (at least 2 of the following): Associate Developer for Apache S

📌 Solutions Architect (México)
🏢 Sunnydata
📍 México